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Suprathreshold Stochastic Resonance in Single Neuron Using Sinusoidal Wave Sequence

  • Jun Liu
  • Jian Wu
  • Zhengguo Lou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)

Abstract

This paper discussed suprathreshold stochastic resonance (SSR) in a HH model forced the periodic input. Temporal sequences of neuronal action potentials were transformed into the sinusoidal wave sequences and the sequences were analyzed by signal-to-noise ratio (SNR) in order to investigate the spectrum characteristic of a Hodgkin-Huxley (HH) neuron. The transformation reflected the pure information of interspike interval and provided a new tool to observe the suprathreshold behavior induced by periodic input. In contrast with the previous SSR in network devices, SSR of single neuron is observed.

Keywords

Input Signal Single Neuron Stochastic Resonance Power Spectrum Density Interspike Interval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jun Liu
    • 1
  • Jian Wu
    • 1
  • Zhengguo Lou
    • 1
  1. 1.Department of Biomedical Engineering, Key Laboratory of Biomedical, Engineering of Ministry of Education of ChinaZhejiang UniversityHangzhouP.R. China

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